Evidence map›Paper›PMID 42656643›Full record

ArticleFrontiers in psychology2026

The impact of job burnout on public service motivation and the moderating role of perceived organizational support: a survey among resident work team members in Chinese villages.

Zhe Zhu, Leyi Shao, Heran Zou, Wanqiang Xu, Yilong Sheng

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhe ZhuSchool of Management, Wuhan Institute of Technology, Wuhan, Hubei, China.
Leyi ShaoSchool of Management, Wuhan Institute of Technology, Wuhan, Hubei, China.
Heran ZouSchool of Management, Wuhan Institute of Technology, Wuhan, Hubei, China.
Wanqiang XuCollege of Public Administration, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yilong ShengSchool of Management, Wuhan Institute of Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2013, the Chinese government has promoted rural revitalization by deploying resident work team members to villages. As policy implementers within the governance framework of China, resident work team members' levels of public service motivation (PSM) influence the strategic outcomes of rural revitalization. Employing hierarchical regression analyses and moderation tests, this study provides an empirical examination of resident work team members in the Wuling Mountains region of China. The findings indicate that the overall level of PSM among resident work team members is high, yet job burnout is present to a considerable extent. Job burnout is negatively associated with resident work team members' PSM, and perceived organizational support (POS) moderates this association. At higher levels of POS, the negative relationship between job burnout and PSM is significantly attenuated. Policy implications underscore the need to address resident work team members' job burnout, strengthen their professional capacity development, standardize the assessment and operational standards for village work, and improve accountability mechanisms, welfare provisions, as well as the alignment of promotion and placement arrangements, thereby fostering an organizational climate that encourages innovation. This study enriches and extends the antecedents and moderating factors of PSM theory, offering theoretical support and policy guidance for realizing China's rural revitalization strategy and for establishing a comprehensive, multi-level talent-support system for rural development.

Indexed as

job burnoutmoderating roleperceived organizational supportpublic service motivationresident work team members

Identifiers

PMID42656643
PMCPMC13506823

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.